Word Embeddings for Wine Recommender Systems Using Vocabularies of Experts and Consumers

Christophe Cruz 1 Cyril Nguyen Van Laurent Gautier 2
1 Le2i - Laboratoire Electronique, Informatique et Image [UMR6303]
2 MSH Dijon (MSHD) - Maison des Sciences de l'Homme de Dijon
Abstract : This vision paper proposes an approach to use the most advanced word embeddings techniques to bridge the gap between the discourses of experts and non-experts and more specifically the terminologies used by the two communities. Word embeddings makes it possible to find equivalent terms between experts and non-experts, by approach the similarity between words or by revealing hidden semantic relations. Thus, these controlled vocabularies with these new semantic enrichments are exploited in a hybrid recommendation system incorporating content-based ontology and keyword-based ontology to obtain relevant wines recommendations regardless of the level of expertise of the end user. The major aim is to find a non-expert vocabulary from semantic rules to enrich the knowledge of the ontology and improve the indexing of the items (i.e. wine) and the recommendation process.
Keywords : Recommander systems Wine Ontology Word embedding Semantics Terminology Expert Discourse
Document type :
Journal articles
Complete list of metadatas

Cited literature [30 references]  Display  Hide  Download
https://halshs.archives-ouvertes.fr/halshs-01872273
Contributor : Laurent Gautier <>
Submitted on : Tuesday, September 11, 2018 - 6:42:38 PM
Last modification on : Wednesday, January 15, 2020 - 3:06:13 PM
Long-term archiving on: Wednesday, December 12, 2018 - 3:51:09 PM

File

OJWT_2018v5i1n04_Cruz.pdf
Publisher files allowed on an open archive

Identifiers

  • HAL Id : halshs-01872273, version 1

Collections

CNRS | ICB | LE2I | UNIV-BOURGOGNE | MSHD | RNMSH | UNIV-HESAM | LIB_UB | LIB-SCDONN

Citation

Christophe Cruz, Cyril Nguyen Van, Laurent Gautier. Word Embeddings for Wine Recommender Systems Using Vocabularies of Experts and Consumers. Open Journal of Web Technologies, RonPub, 2018, Special Issue: Proceedings of the International Workshop on Web Data Processing & Reasoning (WDPAR 2018) in conjunction with the 41st German Conference on Artificial Intelligence, 5 (1), pp.23-30. ⟨halshs-01872273⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

114

Files downloads

471

Contact

Informations

CCSD